Nanna Maria Sijtsema

6PUBLICATIONS
79CO-AUTHORS
Radiation therapyGene and molecular therapyDeep learningSurface water quality processes and contaminated sediment assessmentCancer therapy (excl. chemotherapy and radiation therapy)
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Publications (6)

|May 01, 2026
Clinical adoption of deep learning target auto-segmentation for radiation therapy: challenges, clinical risks, and mitigation strategies.

|Jun 30, 2025
Deep learning NTCP model for late dysphagia after radiotherapy for head and neck cancer patients based on 3D dose, CT and segmentations.

S P M de Vette, H Neh, L van der Hoek

|Apr 25, 2025
MRI-Based Head and Neck Tumor Segmentation Using nnU-Net with 15-Fold Cross-Validation Ensemble.

Frank N Mol, Luuk van der Hoek, Baoqiang Ma

|Feb 16, 2024
A comparative study of federated learning methods for COVID-19 detection.

Erfan Darzi, Nanna M Sijtsema, P M A van Ooijen

|Jan 16, 2024
METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII.

Burak Kocak, Tugba Akinci D'Antonoli, Nathaniel Mercaldo

|Feb 07, 2023
Deep learning aided oropharyngeal cancer segmentation with adaptive thresholding for predicted tumor probability in FDG PET and CT images.

Alessia De Biase, Nanna M Sijtsema, Lisanne V van Dijk

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Frequent Collaborators

6 joint publications

Peter van Ooijen

4 joint publications

Lisanne V van Dijk

2 joint publications

Luuk van der Hoek

2 joint publications

Alessia De Biase